Gianvito Urgese
Gianvito Urgese
Bioinformatics & Neuromorphic Engineering @ Politecnico di Torino
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Citado por
The SeqAn C++ template library for efficient sequence analysis: A resource for programmers
K Reinert, TH Dadi, M Ehrhardt, H Hauswedell, S Mehringer, R Rahn, ...
Journal of biotechnology 261, 157-168, 2017
A convolutional neural network fully implemented on FPGA for embedded platforms
M Bettoni, G Urgese, Y Kobayashi, E Macii, A Acquaviva
2017 New Generation of CAS (NGCAS), 49-52, 2017
MirGeneDB 2.1: toward a complete sampling of all major animal phyla
B Fromm, E Høye, D Domanska, X Zhong, E Aparicio-Puerta, ...
Nucleic Acids Research 50 (D1), D204-D210, 2022
Battery-aware operation range estimation for terrestrial and aerial electric vehicles
D Baek, Y Chen, A Bocca, L Bottaccioli, S Di Cataldo, V Gatteschi, ...
IEEE Transactions on Vehicular Technology 68 (6), 5471-5482, 2019
isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation
G Urgese, G Paciello, A Acquaviva, E Ficarra
BMC bioinformatics 17 (148), 13, 2016
Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms
G Urgese, F Barchi, E Macii, A Acquaviva
IEEE Transactions on Emerging Topics in Computing, 12, 2016
Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API
T Desvignes, P Loher, K Eilbeck, J Ma, G Urgese, B Fromm, J Sydes, ...
Bioinformatics 36 (3), 698-703, 2020
Nanomagnet logic: an architectural level overview
M Vacca, M Graziano, J Wang, F Cairo, G Causapruno, G Urgese, A Biroli, ...
Field-Coupled Nanocomputing: Paradigms, Progress, and Perspectives, 223-256, 2014
Dealing with lack of training data for convolutional neural networks: the case of digital pathology
F Ponzio, G Urgese, E Ficarra, S Di Cataldo
Electronics 8 (3), 256, 2019
An engineering process model for managing a digitalised life-cycle of products in the industry 4.0
G Urgese, P Azzoni, J van Deventer, J Delsing, E Macii
NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2020
Exploration of convolutional neural network models for source code classification
F Barchi, E Parisi, G Urgese, E Ficarra, A Acquaviva
Engineering Applications of Artificial Intelligence 97, 104075, 2021
Optimizing quality inspection and control in powder bed metal additive manufacturing: Challenges and research directions
S Di Cataldo, S Vinco, G Urgese, F Calignano, E Ficarra, A Macii, E Macii
Proceedings of the IEEE 109 (4), 326-346, 2021
Protein Alignment Systolic Array Throughput Optimization
G Causapruno, G Urgese, M Graziano, M Vacca, M Zamboni
Code mapping in heterogeneous platforms using deep learning and llvm-ir
F Barchi, G Urgese, E Macii, A Acquaviva
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware
SF Müller-Cleve, V Fra, L Khacef, A Pequeño-Zurro, D Klepatsch, E Forno, ...
Frontiers in Neuroscience 16, 951164, 2022
DEEPrior: a deep learning tool for the prioritization of gene fusions
M Lovino, MS Ciaburri, G Urgese, S Di Cataldo, E Ficarra
Bioinformatics 36 (10), 3248-3250, 2020
A deep learning approach to the screening of oncogenic gene fusions in humans
M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra
International journal of molecular sciences 20 (7), 1645, 2019
Protein Alignment HW/SW Optimizations
G Urgese, M Graziano, M Vacca, M Awais, S Frache, M Zamboni
Electronics, Circuits and Systems (ICECS), 2012 19th IEEE International …, 2012
Dynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimisation
G Urgese, G Paciello, E Ficarra, A Acquaviva, M Graziano, M Zamboni
2nd International Work-Conference on Bioinformatics and Biomedical …, 0
Top-down profiling of application specific many-core neuromorphic platforms
G Urgese, F Barchi, E Macii
2015 IEEE 9th International Symposium on Embedded Multicore/Many-core …, 2015
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Artículos 1–20